AI 中文总结
该研究评估了WFS对喀拉拉邦极端季风雨的预报性能，发现其能更清晰呈现局地高强度降雨结构，凸显了业务区域引导与高分辨率诊断预报的互补性及区域校准的重要性。
AI 中文摘要
喀拉拉邦的极端季风雨因阿拉伯海水汽输送、中尺度对流、沿海辐合以及西高止山脉的强烈地形强迫相互作用，成为业务预报的重大挑战。空间分析显示，WFS再现了沿西高止山脉走向的主要降雨走廊，且比本次事件中考察的更平滑的全球模式引导更清晰地呈现了局地高强度降雨结构。结果表明业务区域引导与更高分辨率诊断预报具有互补作用，并强调了区域特定校准、空间验证以及在多个季风事件和预报提前期持续评估的重要性。
英文摘要
Extreme monsoon rainfall over Kerala presents a major operational forecasting challenge because of the interaction of Arabian Sea moisture transport, mesoscale convection, coastal convergence, and strong orographic forcing along the Western Ghats. Spatial analysis showed that WFS reproduced the principal Western-Ghats-aligned rainfall corridor and represented localized high-intensity rainfall structures more distinctly than the smoother global-model guidance examined for the event. The results demonstrate the complementary roles of operational regional guidance and higher-resolution diagnostic forecasts and highlight the importance of region-specific calibration, spatial verification, and continued evaluation across multiple monsoon events and forecast lead times.
